Search Results for "encoding" - Page 7
Sort By:
Showing 805 open source projects for "encoding"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
1
WavTokenizer
SOTA discrete acoustic codec models with 40/75 tokens per second
WavTokenizer is a state-of-the-art discrete acoustic codec designed specifically for audio language modeling, capable of compressing 24 kHz audio into just 40 or 75 tokens per second while preserving high perceptual quality. It is built to represent speech, music, and general audio with extremely low bitrate, making it ideal as a front-end for large audio language models like GPT-4o and similar architectures. The model uses a single-quantizer design together with temporal compression to... -
2
avbuild
ffmpeg build tool for all platforms
...It provides scripts and configurations that handle dependencies, compilation flags, and integration of external codecs. The project is aimed at developers who need customized FFmpeg builds tailored to specific use cases, such as streaming, encoding, or playback systems. It supports cross-platform builds, enabling consistent environments for Linux, Windows, and macOS. avbuild also allows inclusion of additional libraries such as x264, x265, and other codecs to expand functionality. Its modular structure makes it easy to adjust build configurations and automate repetitive compilation tasks. ... -
3
mapcn
Beautiful map components, 100% Free, Zero config, one command setup
...The core idea is to enable agents to generalize learned behavior by representing continuous control policies in a compact, interpretable form that preserves smoothness and controllability. The project includes implementations that experiment with policy encoding, action decomposition techniques, and sample efficiency analysis in classic reinforcement learning environments. By organizing action outputs into meaningful, lower-dimensional manifolds, MapCN attempts to improve both learning convergence and transfer performance when compared to unguided continuous control baselines. -
4
GJSON
Get JSON values quickly, JSON parser for Go
...It enables you to query nested JSON structures using one-liner dot-notation or array-based paths and includes wildcard and comparison operators. The library is optimized for speed and zero allocations, benchmarking significantly faster than Go’s standard encoding/json unmarshal approaches. It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing. GJSON also provides modifiers (such as @reverse, @flatten, @keys) which allow transformation or inspection directly via the path syntax. Because it works on raw bytes or strings, it's suited for high-performance JSON parsing without needing to define Go struct types. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Agda
Agda is a dependently typed programming language
Agda is a dependently typed, total functional programming language and interactive theorem prover based on Martin-Löf’s type theory. It allows expressing programs and proofs in the same language, using the Curry–Howard correspondence. It features interactive development via Emacs, Atom, or VS Code. Agda is a dependently typed functional programming language. It has inductive families, i.e., data types which depend on values, such as the type of vectors of a given length. It also has... -
6
AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
...To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling. -
7
Nethereum
Ethereum .Net cross platform integration library
...Nethereum is developed targeting netstandard 1.1, netstandard 2.0, netcore 2.1, netcore 3.1, net451 and also as a portable library, hence it is compatible with all the operating systems (Windows, Linux, MacOS, Android, and OSX) and has been tested on cloud, mobile, desktop, Xbox, hololens and windows IoT. Simplified smart contract interaction for deployment, function calling, transaction and event filtering and decoding of topics. ABI to .Net type encoding and decoding, including attribute-based for complex object deserialization. Transaction, RLP, and message signing, verification, and recovery of accounts. The simplified account life cycle for both managed by third-party client (personal) or stand-alone (signed transactions). -
8
go-restful
Package for building REST-style Web Services using Go
...REST asks developers to use HTTP methods explicitly and in a way that's consistent with the protocol definition. This basic REST design principle establishes a one-to-one mapping between create, read, update, and delete (CRUD) operations and HTTP methods. Customizable encoding using EntityReaderWriter registration. Filters for intercepting the request-response flow on Service or Route level. Request-scoped variables using attributes. Route errors produce HTTP 404/405/406/415 errors, customizable using ServiceErrorHandler(...). Request API for reading structs from JSON/XML and accessing parameters (path, query, header). ... -
9
httparty
Makes http fun again!
...In some cases you may want to skip SSL verification, because the entity that issued the certificate is not a valid one, but you still want to work with it. Unless you have specific requirements otherwise, we recommend to not set set the Accept-Encoding header on HTTParty requests. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
10
node-canvas
Node canvas is a Cairo backed Canvas implementation for NodeJS
...(See Compatibility Status for the current API compliance.) All utility methods and non-standard APIs are documented. When MIME data is tracked, PDF canvases can embed JPEGs directly into the output, rather than re-encoding into PNG. This can drastically reduce filesize and speed up rendering. If working with a non-PDF canvas, image data must be tracked, otherwise the output will be junk. -
11
QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
QueryList is an extensible PHP web scraping and crawling framework designed to extract and process data from web pages. It provides a simple and expressive API that allows developers to collect structured information from HTML documents using familiar DOM traversal techniques. It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. QueryList supports common data... -
12
Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
This repository provides a from-scratch, minimalist implementation of the Vision Transformer (ViT) in PyTorch, focusing on the core architectural pieces needed for image classification. It breaks down the model into patch embedding, positional encoding, multi-head self-attention, feed-forward blocks, and a classification head so you can understand each component in isolation. The code is intentionally compact and modular, which makes it easy to tinker with hyperparameters, depth, width, and attention dimensions. Because it stays close to vanilla PyTorch, you can integrate custom datasets and training loops without framework lock-in. ... -
13
xFormers
Hackable and optimized Transformers building blocks
xformers is a modular, performance-oriented library of transformer building blocks, designed to allow researchers and engineers to compose, experiment, and optimize transformer architectures more flexibly than monolithic frameworks. It abstracts components like attention layers, feedforward modules, normalization, and positional encoding, so you can mix and match or swap optimized kernels easily. One of its key goals is efficient attention: it supports dense, sparse, low-rank, and approximate attention mechanisms (e.g. FlashAttention, Linformer, Performer) via interchangeable modules. The library includes memory-efficient operator implementations in both Python and optimized C++/CUDA, ensuring that performance isn’t sacrificed for modularity. ... -
14
jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
Scala macros for compile-time generation of safe and ultra-fast JSON codecs. This library had started from macros that reused jsoniter (json-iterator) for Java reader and writer but then the library evolved to have its own core of mechanics for parsing and serialization. The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide... -
15
Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files.... -
16
goquery
A little like that j-thing, only in Go
...Since the net/html parser returns nodes, and not a full-featured DOM tree, jQuery's stateful manipulation functions (like height(), css(), and detach()) have been left off. Also, because the net/HTML parser requires UTF-8 encoding, so does goquery: it is the caller's responsibility to ensure that the source document provides UTF-8 encoded HTML. See the wiki for various options to do this. Syntax-wise, it is as close as possible to jQuery, with the same function names when possible, and that warm and fuzzy chainable interface. jQuery being the ultra-popular library that it is, I felt that writing a similar HTML-manipulating library was better to follow its API than to start anew (in the same spirit as Go's fmt package), even though some of its methods are less than intuitive (looking at you, index()...). -
17
EthereumJS Monorepo
Monorepo for the Ethereum VM TypeScript Implementation
...All libraries are bound together by the core Common library keeping track of chain specifics and hardfork changes. They are complemented by helper packages like RLP for data encoding/decoding or Util, providing helper functionalities like (byte) conversion, signatures, types and others. Finally, the EthereumJS Execution Client (EthereumJS) has been in active development for some time now. It already serves a variety of purposes like testing, research (e.g. EIPs) and developer tooling. -
18
Apache HBase
Get random, realtime read/write access to your Big Data
...Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX. Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables. -
19
Step-Video-T2V
State-of-the-art (SoTA) text-to-video pre-trained model
Step-Video-T2V is a state-of-the-art text-to-video foundation model developed to generate videos from natural-language prompts; its 30B-parameter architecture is designed to produce coherent, temporally extended video sequences — up to around 204 frames — based on input text. Under the hood it uses a compressed latent representation (a Video-VAE) to reduce spatial and temporal redundancy, and a denoising diffusion (or similar) process over that latent space to generate smooth, plausible... -
20
LLaMA-Mesh
Unifying 3D Mesh Generation with Language Models
LLaMA-Mesh is a research framework that extends large language models so they can understand and generate 3D mesh data alongside text. The system introduces a method for representing 3D meshes in a textual format by encoding vertex coordinates and face definitions as sequences that can be processed by a language model. By serializing 3D geometry into text tokens, the approach allows existing transformer architectures to generate and interpret 3D models without requiring specialized visual tokenizers. The project includes a supervised fine-tuning dataset composed of interleaved text and mesh data, allowing the model to learn relationships between textual descriptions and 3D structures. ... -
21
Greenmask
PostgreSQL database anonymization and synthetic data generation tool
Greenmask is a powerful open-source utility that is designed for logical database backup dumping, obfuscation, and restoration. It offers extensive functionality for backup, anonymization, and data masking. Greenmask is written in pure Go and includes ported PostgreSQL libraries that allows for platform independence. This tool is stateless and does not require any changes to your database schema. It is designed to be highly customizable and backward-compatible with existing PostgreSQL... -
22
Apiato
PHP Framework for building scalable API's on top of Laravel
...API Documentations generator, to generate API docs from PHP Docblock using ApiDocJS (provided by Documentation Container). Supports CORS (Cross-Origin Resource Sharing) and JSONP (JSON with padding). Auto encoding/decoding of real IDs, to prevent exposing real ids to the outer world. API Throttling (rate-limiting to control the rate of traffic received and protect your server). Support Data Caching (with auto clearing on Create, Update, and Delete). API versioning in the URL or Header (versioning based on the route file name). -
23
Linguist
Detect blob languages, suppress generated files and generate graphs
...Accordingly, we highly recommend you install a version of Ruby using Homebrew, rbenv, rvm, ruby-build, asdf or other packaging system, before attempting to install Linguist and the dependencies. Linguist uses charlock_holmes for character encoding and rugged for libgit2 bindings for Ruby. These components have their own dependencies. A repository's languages stats can also be assessed from the command line using the github-linguist executable. Without any options, github-linguist will output the breakdown that correlates to what is shown in the language stats bar. -
24
vim-airline
Very light status/tabline for vim
Lean & mean status/tabline for vim that's light as air. When the plugin is correctly loaded, there will be a nice statusline at the bottom of each vim window. That line consists of several sections, each one displaying some piece of information. For a better look, any sections can be colored differently, depending on various conditions (e.g. the mode or whether the current file is 'modified'). Tiny core written with extensibility in mind (open/closed principle). Integrates with a variety of... -
25
Step-Audio 2
Multi-modal large language model designed for audio understanding
Step-Audio2 is an advanced, end-to-end multimodal large language model designed for high-fidelity audio understanding and natural speech conversation: unlike many pipelines that separate speech recognition, processing, and synthesis, Step-Audio2 processes raw audio, reasons about semantic and paralinguistic content (like emotion, speaker characteristics, non-verbal cues), and can generate contextually appropriate responses — including potentially generating or transforming audio output. It...
